Faisal Saeed

Secure and Privacy-Preserving Intrusion Detection in Wireless Sensor Networks via Perturbation Adversarial Training

Faisal Saeed, Dabin Park, Syed Shayan Ali Shah, Junbeom Lee et autres

cn, kr, pk, ca (code pays fourni par la source)

SparseQ: Jensen-Shannon Divergence Guided Query Sparsified-Attention with Convolutional Distilling for Medical Image Segmentation

Faisal Saeed, Abdul Rehman, Jie Chen, Muhammad Umair Raza et autres

OBJECTIVE: Accurate medical image segmentation is essential for clinical diagnosis and treatment planning. Although Convolutional Neural Networks (CNNs) excel at capturing local spatial details, they struggle to model long-range dependencies across anatomical regions, which is critical for lesion and tumor delineation. Transformer-based …

cn, kr, tr, sa (code pays fourni par la source)

Human face localization and detection in highly occluded unconstrained environments

Abdulaziz Alashbi, Abdul Hakim H. M. Mohamed, Ayman A. El‐Saleh, Ibraheem Abdullah Mohammed Shayea et autres

Significant advancements have been achieved in the field of computer vision pertaining to the detection of human faces. This technological development holds great potential for a wide range of applications including but not limited to identification, surveillance and expression recognition. Unconstrained face …

sa, om, tr, my, gb, Algérie (code pays fourni par la source)

A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting

Faisal Saeed, Anand Paul, Hyuncheol Seo

Smart grids provide a unique platform to the participants of energy markets to tweak their offerings based on demand-side management. Responding quickly to the needs of the market can help to improve the reliability of the system, as well as the cost …

kr (code pays fourni par la source)

A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet

Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, Jun‐Hyun Park et autres

A brain tumor is a disorder caused by the growth of abnormal brain cells. The survival rate of a patient affected with a tumor is difficult to determine because they are infrequent and appear in various forms. These tumors can be identified …

kr (code pays fourni par la source)

Intelligent implementation of residential demand response using multiagent system and deep neural networks

Faisal Saeed, Anand Paul, Muhammad Jamal Ahmed, Malik Junaid Jami Gul et autres

Abstract A successful implementation of demand response (DR) always depends on proper policy and their empower technologies. This article proposed an intelligent multiagent system to idealize the residential DR in distributed network. In our model, the primary stakeholders (smart homes and retailers) …

kr (code pays fourni par la source)